Applied ML Engineer

Foxglove is a company focused on building observability and data infrastructure for robotics and autonomous systems. They are seeking an Applied ML Engineer to design, deploy, and scale ML systems that power their data platform, with responsibilities including optimizing inference pipelines and collaborating with product engineers to deliver application-driven ML features.

Responsibilities:

• Deploy and operate inference infrastructure for production ML workloads, including model serving, scaling, and cost optimization
• Build and maintain vector database integrations and embedding applications to support semantic search over multimodal (image, video, point cloud, and timeseries) robotics data
• Design and implement evaluation and training infrastructure, to help us iterate quickly on model performance
• Own cloud architecture decisions and tooling that affect inference latency, throughput, cost, and reliability at scale
• Collaborate with product engineers to ship application-driven ML features tailored to developers building the cutting edge of robotics and physical AI, not prototype experiments
• Identify the right off-the-shelf solutions and adapt them for production, and know when to build vs. buy